Computational Model of Recommender System Intervention

Table 1

The model concept.

No	Concept	Representation	Description	Related theory	Empirical relation
1	Ability to perform the recommendation	Ab	Having sufficient enablement to accept the recommender system	TPB, TRA	Saito and Watanobe [72]
2	Social influence	Si	External opinion on the recommendation		Huo et al. [73]
3	Belief in the recommendation	Bf	A state of the user’s trust or confidence placed in the recommender system	FBM	Li et al. [74]
4	Recommendation knowledge	Rk	Knowledge and understanding about the recommender system	TPB, TRA	Rosa et al. [75]
5	Planned action toward the recommendation	Pa	A sequence of steps or activities that must be achieved well, for the recommender system intervention to be successful	TPB, TRA	Workman [76]
6	Recommendation task	Rt	The nature of the recommendation	TPB, TRA	Shishehchi et al. [77]
7	Attitude to the recommendation	At	Mental state	TPB, TRA	Ku and Tai [78]
8	Challenge to the recommendation	Cr	Perceived threat to the recommender system information	HBM, TPB	Mashal et al. [79]
9	Motivation of the recommendation	Mr	Drive to achieve the recommender system information	FBM, TM, HBM	Jain et al. [80]
5	Perceived benefit of the recommendation	Pb	Positive feeling on the recommender	HBM, TPB	Musto et. al [81]
6	Threat to the recommendation	Tr	Perceived risk to perform recommendation	FBM, HBM	Sangeetha et al. [82]
10	Perceived risk of the recommendation	Pr	Negative feeling on the recommender	HBM, TPB	Amirtha et al. [83]
7	Intention to perform the recommendation	Ir	Inclination to achieve the recommender system information	FBM, HBM, RPM	Jiménez-Castillo and Sánchez-Fernández [84]; Amirtha et al. [83]
8	Negative thoughts on the recommendation	Nr	Negative reaction on the recommender	HBM, TPB	Passos et al. [85]
9	Self-efficacy to the recommendation	Se	The self-drive to the achieve the recommender system information	RPM, TPB, SET	Louvigné et al. [86]
10	Severity of the recommendation	Sr	The strictness of the consequences of the recommendation	HBM	Sharma et al. [87]
1	Desire to change for the recommendation	Dr	The emotional feeling toward the recommender system	TM	Andersen et al. [88]
12	Recommendation accept	Ra	A state when the recommendation is accepted	SET	Nilashi et al. [89]
13	Recommendation rejected	Rr	A state when the recommendation is deflected	SET	Lei et al. [90]
14	Dissatisfaction with the recommendation	DFr	Stage of continuous discontent with the recommendation	RPM	Barzegar Nozari et al. [91]
15	Consistency recommendation reject	CRr	Continuous stage of rejecting the recommendation	TRA, RPM	Dewi et al. [92]
16	Consistency recommendation accept	CRa	Continuous stage of accepting the recommendation	TRA, RPM	Dewi et al. [92]